Applied Research Mathematician

RESPONSIBILITIES At NSA, mathematics and statistics are core disciplines present in every aspect of our mission: to protect our Nation. The mission requires a strong offense and a steadfast defense. The offense collects, processes, and disseminates intelligence information derived from foreign signals for intelligence and counterintelligence purposes. The defense prevents adversaries from gaining access to sensitive classified national security information.Mathematicians and Mathematical Statisticians contribute across our mission by bringing both subject matter expertise and creative, critical thinking. A wide range of technical expertise finds a natural fit at NSA including, but not limited to, fields of algebra, combinatorics, Fourier analysis, operations research, graph analytics, regression, machine learning, exploratory data analysis, stochastic processes, statistical modeling, forecasting, and cryptography.Diversity is a key for NSA mission success. We solve our hardest problems and develop innovative solutions by bringing together the perspectives of people with a wide range of backgrounds, experiences, and viewpoints. The Agency supports a dynamic mathematics community with substantial opportunities to learn and experiment in areas far from academic training. Additionally, professional development is supported by hands-on training, seminar series, conference travel, and professional organizations. These opportunities and core mission needs help make NSA the largest employer of mathematicians and mathematical statisticians in the country. SKILLS Candidates must possess:- Strong problem-solving and analytical skills- Desire for continual learning- Ability to work effectively both independently and within diverse teamsKnowledge and experience in one or more of the following areas is desired but not required. Successful applicants may learn these skills at the Agency.- Programming expertise in any language- Experience in the design, development, use, and evaluation of mathematical models, methods and/or techniques (e.g., algorithm development)The timeline for hiring mathematicians is quite long, commonly one to two years. We recommend applying when graduation is no more than a year out, as start dates can often flex to accommodate the needs of a